2019
Association Between Fractional Amplitude of Low-Frequency Spontaneous Fluctuation and Degree Centrality in Children and Adolescents
Sato J, Biazoli C, Moura L, Crossley N, Zugman A, Picon F, Hoexter M, Amaro E, Miguel E, Rohde L, Bressan R, Jackowski A. Association Between Fractional Amplitude of Low-Frequency Spontaneous Fluctuation and Degree Centrality in Children and Adolescents. Brain Connectivity 2019, 9: 379-387. PMID: 30880423, DOI: 10.1089/brain.2018.0628.Peer-Reviewed Original ResearchConceptsFractional amplitudeBrain functional changesPosterior cingulate/precuneusLateral parietal cortexParietal cortexNeurodevelopmental studiesFunctional changesLow-frequency fluctuationsBOLD signalClinical populationsLarge independent samplesSpontaneous fluctuationsIntra-subject correlationNeurophysiological correlatesGroup levelIndependent samples
2017
Low frequency fluctuation of brain spontaneous activity and obsessive-compulsive symptoms in a large school-age sample
Hoexter M, Biazoli C, Alvarenga P, Batistuzzo M, Salum G, Gadelha A, Pan P, Anés M, Mancini-Martins L, Moura L, Soriano-Mas C, Aquilla M, Amaro E, Rohde L, Jackowski A, Bressan R, Miguel E, do Rosario M, Sato J. Low frequency fluctuation of brain spontaneous activity and obsessive-compulsive symptoms in a large school-age sample. Journal Of Psychiatric Research 2017, 96: 224-230. PMID: 29102817, DOI: 10.1016/j.jpsychires.2017.10.009.Peer-Reviewed Original ResearchConceptsObsessive-compulsive symptomsBrain spontaneous activityLow-frequency fluctuationsSpontaneous activityRight sensorimotor cortexHigh Risk Cohort StudyState functional magnetic resonance imaging (rs-fMRI) dataSpontaneous activity changesPredictors of riskWell-Being AssessmentSpontaneous brain activitySuperior temporal cortexSuperior temporal gyrusCohort studyObsessive-compulsive disorderSensorimotor cortexMagnetic resonance imaging dataPsychiatric disordersOverall psychopathologyTemporal gyrusFractional amplitudeGeneral linear modelFunctional magnetic resonance imaging (fMRI) dataCompulsive symptomsBrain activity
2016
Connectome hubs at resting state in children and adolescents: Reproducibility and psychopathological correlation
Sato J, Biazoli C, Salum G, Gadelha A, Crossley N, Vieira G, Zugman A, Picon F, Pan P, Hoexter M, Anés M, Moura L, Del’Aquilla M, Amaro E, Mcguire P, Rohde L, Miguel E, Bressan R, Jackowski A. Connectome hubs at resting state in children and adolescents: Reproducibility and psychopathological correlation. Developmental Cognitive Neuroscience 2016, 20: 2-11. PMID: 27288820, PMCID: PMC6987719, DOI: 10.1016/j.dcn.2016.05.002.Peer-Reviewed Original ResearchConceptsAnterior medial prefrontal cortexPsychiatric symptomsLarge-scale functional networksBrain hubsMental disordersHub regionsMedial prefrontal cortexResting-state fMRIFunctional cortical networksIndependent population-based samplesRight IPSPopulation-based sampleIntraparietal sulcusBrain networksPrefrontal cortexCortical networksIntegrative regionsFunctional networksAdolescentsLow centralitySymptomsChildrenDisordersReplicabilityInteresting target
2014
Age effects on the default mode and control networks in typically developing children
Sato J, Salum G, Gadelha A, Picon F, Pan P, Vieira G, Zugman A, Hoexter M, Anés M, Moura L, Del'Aquilla M, Amaro E, McGuire P, Crossley N, Lacerda A, Rohde L, Miguel E, Bressan R, Jackowski A. Age effects on the default mode and control networks in typically developing children. Journal Of Psychiatric Research 2014, 58: 89-95. PMID: 25085608, DOI: 10.1016/j.jpsychires.2014.07.004.Peer-Reviewed Original ResearchConceptsDefault mode networkMode networkYears of ageCross-sectional community sampleRight anterior insulaDefault modePosterior temporal cortexDorsal anteriorAge effectsNeurodevelopment studiesHealthy subjectsTemporal cortexPosterior cingulateState fMRI dataAnterior insulaBrain developmentSame acquisition parametersLeft posterior temporal cortexNeuronal modulesState fMRILate childhoodDevelopmental formationBrain networksCommunity sampleField of neuroimaging